expose_functions.brmsfit

expose_functions

An R object

Export user-defined Stan function to the 
<code><a rd-options="base:environment" href="/link/.GlobalEnv?package=brms&version=1.10.2&to=base%3Aenvironment" data-mini-rdoc="base:environment::.GlobalEnv">.GlobalEnv</a></code>.
For more details see 
<code><a rd-options="rstan:expose_stan_functions" href="/link/expose_stan_functions?package=brms&version=1.10.2&to=rstan%3Aexpose_stan_functions" data-mini-rdoc="rstan:expose_stan_functions::expose_stan_functions">expose_stan_functions</a></code>.

Fit Bayesian generalized (non-)linear multilevel models
using Stan for full Bayesian inference. A wide range of distributions
and link functions are supported, allowing users to fit -- among others --
linear, robust linear, count data, survival, response times, ordinal,
zero-inflated, hurdle, and even self-defined mixture models all in a
multilevel context. Further modeling options include non-linear and
smooth terms, auto-correlation structures, censored data, meta-analytic
standard errors, and quite a few more. In addition, all parameters of the
response distribution can be predicted in order to perform distributional
regression. Prior specifications are flexible and explicitly encourage
users to apply prior distributions that actually reflect their beliefs.
Model fit can easily be assessed and compared with posterior predictive
checks and leave-one-out cross-validation.

PaulChristian Buerkner

brms

Bayesian Regression Models using Stan

Paul-Christian B<c3><bc>rkner

expose_functions.brmsfit function

Export user-defined Stan function to the 
<code><a rd-options='base:environment' href='.GlobalEnv'>.GlobalEnv</a></code>.
For more details see 
<code><a rd-options='rstan:expose_stan_functions' href='expose_stan_functions'>expose_stan_functions</a></code>.

expose_functions.brmsfit: Expose user-defined Stan functions

Description

Usage

Arguments